Integrating Large Language Models into Autonomous Vehicles

Imagine simply telling your vehicle, “I’m in a hurry,” and it automatically takes you on the most efficient route to where you need to be. Purdue University engineers have found that an autonomous vehicle (AV) can do this with the help of ChatGPT or other chatbots made possible by artificial intelligence algorithms called large language models. Read on to learn more.

SAE Automotive Podcast: Autonomous Driving Technology

Bringing and keeping robotaxis on the road requires a village.

Software-Defined Vehicle Summit 2025

SAE International’s Software-Defined Vehicle Summit is where industry experts gather to discuss the latest advancements, challenges, and opportunities in the realm of software-defined vehicles.

Next-Gen Automotive Semiconductors Are Critical for Level 5 Driverless Cars

The driverless robotaxis chauffeuring around San Francisco, and the advanced driver assistance features on more than half of new vehicles sold this year show just...

Giving Autonomous Vehicles the Ability to Reason

Yen-Ling Kuo at the University of Virginia School of Engineering and Applied Science is collaborating with a team at the Toyota Research Institute to build language representations of driving behavior that enable a robot to associate the meaning of words with what it sees by watching how humans interact with the environment or by its own interactions with the environment. Read on to learn more.

RTK and Sensor Fusion for Autonomous Vehicle Navigation & Guidance

This is an exciting time in robotics and vehicle automation, and sensors of all kinds provide critical data to drive this technology forward. But the sensor stack for AVs and ADAS is incomplete without a reliable source of absolute positioning. Read on to learn more.

‘Attacker’ Device to Protect AVs from Cyberattacks

To help improve the safety and security of AVs, researchers have devised a novel algorithm designed to mimic an attacking device. The algorithm lets researchers identify areas for improvement in autonomous vehicle security.

Leveraging AI for EV Performance Improvement

As commercial fleets adopt more electric vehicles, they need accurate state-of-health measurements and smart charging algorithms to ensure their EVs have minimum unscheduled downtime. To solve these problems effectively, we need comprehensive data collection, capable computing infrastructure, and intelligent algorithms.